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» Logarithmic Regret Algorithms for Online Convex Optimization
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STOC
2007
ACM
146views Algorithms» more  STOC 2007»
14 years 8 months ago
Playing games with approximation algorithms
In an online linear optimization problem, on each period t, an online algorithm chooses st S from a fixed (possibly infinite) set S of feasible decisions. Nature (who may be adve...
Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett
SWAT
2010
Springer
279views Algorithms» more  SWAT 2010»
14 years 21 days ago
Online Function Tracking with Generalized Penalties
We attend to the classic setting where an observer needs to inform a tracker about an arbitrary time varying function f : N0 → Z. This is an optimization problem, where both wron...
Marcin Bienkowski, Stefan Schmid
APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
13 years 9 months ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova
SIAMJO
2000
101views more  SIAMJO 2000»
13 years 7 months ago
An Efficient Algorithm for Minimizing a Sum of p-Norms
We study the problem of minimizing a sum of p-norms where p is a fixed real number in the interval [1, ]. Several practical algorithms have been proposed to solve this problem. How...
Guoliang Xue, Yinyu Ye
SAGT
2010
Springer
167views Game Theory» more  SAGT 2010»
13 years 6 months ago
A Perfect Price Discrimination Market Model with Production, and a (Rational) Convex Program for It
Recent results showing PPAD-completeness of the problem of computing an equilibrium for Fisher’s market model under additively separable, piecewise-linear, concave utilities (pl...
Gagan Goel, Vijay V. Vazirani